Answer:
Probability sampling
Explanation:
Probability Sampling is a sampling technique in which a sample from a larger population is chosen using a method based on the theory of probability. For participants to be considered as part of the probability sample, they must be selected using a random selection.
The most important characteristic of probability sampling is that everyone in the population has an equal chance of getting selected.
In this example. Cornelia used the directory at her school and <u>RANDOMLY</u> selected 100 students. Then, <u>she assigned people </u><u>ALTERNATIVELY</u><u> (and therefore </u><u>RANDOMLY</u><u>) to each matrix cell to conform her experimental and control groups. </u>
Since <u>she selected her sample at random and then she assigned the persons to each of the groups in a random way</u>, we can conclude that this is an example of <u>Probability Sampling</u>
D. it has the power to interpret laws
Delegates are usually chosen during a primary caucus depending on the state your in. Delegates who attend national party conventions are chosen by the members of the particular political party.
Hope this helps : )
